Geospatial Transportation Analyst

Burgess & Niple•Columbus, OH

About The Position

Burgess & Niple is seeking a Geospatial Transportation Analyst to turn complex data into clear, actionable insights for clients. The analyst will work closely with project managers, engineers, planners, and data scientists to collect, analyze, and visualize geospatial data supporting infrastructure, planning, transportation, and environmental projects.

Requirements

  • Bachelor’s degree in Data Analytics, Statistics, GIS, Geography, Planning, or a related field.
  • Three to five years of related geospatial experience, or two to four years with a Master’s degree.
  • Proficiency in analysis tools and languages such as Python, SQL, R, and Excel.
  • Experience with visualization tools such as Power BI, ArcGIS Dashboards, Tableau, or similar platforms.
  • Experience with ArcGIS Pro and ArcGIS Online.
  • Strong organizational skills and the ability to manage multiple priorities with attention to detail.
  • Strong collaboration skills and the ability to clearly communicate complex technical concepts to technical and non-technical audiences.
  • Adaptability, self-motivation, an entrepreneurial mindset, and a proactive approach to problem solving.

Nice To Haves

  • Master’s degree preferred.
  • Experience supporting client-facing consulting or project-based analytical work preferred.

Responsibilities

  • Perform descriptive, exploratory, and applied data analysis to summarize trends, develop metrics, and prepare outputs for reports, presentations, and decision-making.
  • Collect, clean, validate, and document datasets from a variety of sources, including conducting data quality checks.
  • Develop dashboards, maps, charts, and other decision-support tools to communicate findings to technical and non-technical audiences.
  • Document data sources, assumptions, QA/QC processes, and analytical methods; support repeatable workflows, templates, and basic automation.
  • Collaborate with project managers, engineers, planners, and data scientists to support project delivery.
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